Ranking Search Engine Result Pages based on Trustworthiness of Websites

作者: Lalit M. Patnaik , K. Shaila , K. C. Srikantaiah , K. R. Venugopal , V. Tejaswi

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摘要: The World Wide Web (WWW) is the repository of large number web pages which can be accessed via Internet by multiple users at same time and therefore it Ubiquitous in nature. search engine a key application used to from this huge repository, uses link analysis for ranking without considering facts provided them. A new algorithm called Probability Correctness Facts(PCF)-Engine proposed find accuracy pages. It based similarity function (SIM) performs string matching between true their probability correctness. existing semantic engines, may give relevant result user query but not 100% accurate. Our computes trustworthiness websites rank Simulation results show that our approach efficient when compared with Voting Truthfinder[1] algorithms respect websites.

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